Systems and Methods for Estimation of Parkinson's Disease Gait Impairment Severity from Videos Using MDS-UPDRS

a parkinson's disease and gait impairment technology, applied in image analysis, medical science, image enhancement, etc., can solve the problems of slow movement (bradykinesia), tremor and stiffness, postural instability and difficulty in walking/balance, and progressive deterioration of selective brain neurons. , to achieve the effect of reducing the effect of skeleton nois

Pending Publication Date: 2021-12-16
THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0011]In yet a further embodiment again, the JCD and two-scale motion features are embedded into latent vectors a

Problems solved by technology

Parkinson's disease (PD) is a brain disorder that primarily affects motor function, leading to slow movement (bradykinesia), tremor, and stiffness (rigidity), as well as postural instability and difficulty with walking/balance.
PD is caused by a gradual decline in d

Method used

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  • Systems and Methods for Estimation of Parkinson's Disease Gait Impairment Severity from Videos Using MDS-UPDRS
  • Systems and Methods for Estimation of Parkinson's Disease Gait Impairment Severity from Videos Using MDS-UPDRS
  • Systems and Methods for Estimation of Parkinson's Disease Gait Impairment Severity from Videos Using MDS-UPDRS

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Embodiment Construction

[0023]Many embodiments provide for systems and methods for assessing disease based on computer video analysis of patient recordings. In particular, many embodiments provide for a computer vision-based model that can observe non-intrusive video recordings of individuals, extract their 3D body skeletons, track the individuals through space and time, and provide information that can be used to diagnose and / or classify a disease and / or a severity or progression of a disease. In particular, many embodiments of the system can be used to determine a severity of Parkinson's disease (PD) according to standard MDS-UPDRS classes.

[0024]Many prior techniques for treating Parkinson's have been based on neuroimages or largely rely on quantifying motor impairments via wearable sensors that can be expensive, unwieldy, and intrusive. Accordingly, many embodiments of the system are able to asses PD using video-based technologies and machine learning in order to provide non-intrusive and scalable ways ...

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Abstract

Many embodiments of the invention include systems and methods for evaluating motion from a video, the method includes identifying a target individual in a set of one or more frames in a video, analyzing the set of frames to determine a set of pose parameters, generating a 3D body mesh based on the pose parameters, identifying joint positions for the target individual in the set of frames based on the generated 3D body mesh, predicting a motion evaluation score based on the identified join positions, providing an output based on the motion evaluation score.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This application claims priority to U.S. provisional patent application Ser. No. 63 / 037,526 entitled “Estimation of Parkinson's Disease Gait Impairment Severity from Videos Using MDS-UPDRS,” filed on Jun. 10, 2020, which is incorporated by reference herein in its entirety.STATEMENT OF FEDERAL FUNDING[0002]This invention was made with Government support under contracts AA010723 and AG047366 awarded by the National Institutes of Health. The Government has certain rights in the invention.FIELD OF THE INVENTION[0003]The present invention is related to estimation of Parkinson's Disease severity from videos using MDS-UPDRS.BACKGROUND[0004]Parkinson's disease (PD) is a brain disorder that primarily affects motor function, leading to slow movement (bradykinesia), tremor, and stiffness (rigidity), as well as postural instability and difficulty with walking / balance. PD is the second most prevalent neurodegenerative disease. PD is caused by a gradua...

Claims

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Application Information

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IPC IPC(8): A61B5/00A61B5/11G06T17/20G06T7/20
CPCA61B5/4082A61B5/1101A61B5/1121A61B5/1124A61B5/1128A61B5/7275G06T2207/30004G06T7/20G06T2210/41G06T2210/12G06T2207/20081G06T2207/20084G06T17/20A61B5/112G06T7/0012G06T7/251G06T2207/30196
Inventor ADELI-MOSABBEB, EHSANLU, MANDYPOSTON, KATHLEENNIEBLES, JUAN CARLOS
Owner THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIV
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